Knowledge Commons of Institute of Automation,CAS
A Hybrid of Hard and Soft Attention for Person Re-Identification | |
Li Xuesong![]() ![]() ![]() ![]() | |
2020-02 | |
会议名称 | 2019 Chinese Automation Congress |
会议日期 | 22-24 Nov. 2019 |
会议地点 | Hangzhou, China |
出版者 | IEEE |
摘要 | Existing pedestrian re-identification methods based on deep learning have achieved good results under constrained conditions. However, there exist some challenges including large human pose variations, viewpoint changes, severe occlusions and imprecise detection of persons. So we present a Hard/Soft hybrid Attention Network (HSAN) that combines pose information and attention mechanism to deal with the challenges. Our model includes two main parts: Pose-guided Hard Attention (PHA) and Regional Soft Attention (RSA). PHA uses the keypoints generated by pose estimation to enhance the foreground information, and RSA is learned to eliminate the background clutter. We extract reliable features and locate discriminative regions by using these two modules to handle occlusions, pose changes and background noises. We conduct a lot of experiments on public datasets including DukeMTMC-ReID, Market-1501, and CUHK03, and the results show that our method achieves stateof-the-art performance. |
关键词 | person re-identification attention model computer vision deep learning |
DOI | 10.1109/CAC48633.2019.8997406 |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 生物特征识别 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39061 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
作者单位 | 1.The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Li Xuesong,Liu Yating,Wang Kunfeng,et al. A Hybrid of Hard and Soft Attention for Person Re-Identification[C]:IEEE,2020. |
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08997406.pdf(870KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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